Triple
T9539627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukevan vankila |
E230114
|
entity |
| Predicate | hasInmateCategory |
P32689
|
FINISHED |
| Object | adult prisoners |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: adult prisoners | Statement: [Sukevan vankila, hasInmateCategory, adult prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInmateCategory Context triple: [Sukevan vankila, hasInmateCategory, adult prisoners]
-
A.
hasPrisonerCategory
chosen
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
B.
hasNotableCategoryOfPrisoners
Indicates that a prison is known for housing a specific, notable category or type of prisoners.
-
C.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
D.
hasPrison
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
-
E.
hasInmatePrograms
Indicates that an entity provides, offers, or is associated with specific programs or services intended for inmates.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e4df6c8190a4d1160c42daa45f |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.